JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation

Yuming Jiang, Lixin Duan, Jun Cheng, Zaiwang Gu, Hu Xia, Huazhu Fu, Changsheng Li, Jiang Liu

Research output: Journal PublicationArticlepeer-review

78 Citations (Scopus)


The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of cup and disc regions to be elliptical, we proposed an end-to-end region-based convolutional neural network for joint optic disc and cup segmentation (referred to as JointRCNN). Atrous convolution is introduced to boost the performance of feature extraction module. In JointRCNN, disc proposal network (DPN) and cup proposal network (CPN) are proposed to generate bounding box proposals for the optic disc and cup, respectively. Given the prior knowledge that the optic cup is located in the optic disc, disc attention module is proposed to connect DPN and CPN, where a suitable bounding box of the optic disc is first selected and then continued to be propagated forward as the basis for optic cup detection in our proposed network. After obtaining the disc and cup regions, which are the inscribed ellipses of the corresponding detected bounding boxes, the vertical cup-to-disc ratio is computed and used as an indicator for glaucoma detection. Results: Comprehensive experiments clearly show that our JointRCNN model outperforms state-of-the-art methods for optic disc and cup segmentation task and glaucoma detection task. Conclusion: Joint optic disc and cup segmentation, which utilizes the connection between optic disc and cup, could improve the performance of optic disc and cup segmentation. Significance: The proposed method improves the accuracy of glaucoma detection. It is promising to be used for glaucoma screening.

Original languageEnglish
Article number8698800
Pages (from-to)335-343
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Issue number2
Publication statusPublished - Feb 2020
Externally publishedYes


  • Glaucoma detection
  • convolutional neural network
  • optic cup segmentation
  • optic disc segmentation

ASJC Scopus subject areas

  • Biomedical Engineering


Dive into the research topics of 'JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation'. Together they form a unique fingerprint.

Cite this